mirror of
https://github.com/ethereum/consensus-specs.git
synced 2026-02-02 07:05:04 -05:00
DAS doc
This commit is contained in:
@@ -32,8 +32,30 @@ class DASSample(Container):
|
||||
|
||||
## Helper functions
|
||||
|
||||
### Data extension
|
||||
|
||||
Implementations:
|
||||
- [Python](https://github.com/protolambda/partial_fft/blob/master/das_fft.py)
|
||||
- [Go](https://github.com/protolambda/go-kate/blob/master/das_extension.go)
|
||||
|
||||
```python
|
||||
def das_fft_extension(data: Sequence[Point]) -> Sequence[Point]:
|
||||
"""Given some even-index values of an IFFT input, compute the odd-index inputs, such that the second output half is all zeroes."""
|
||||
poly = inverse_fft(data)
|
||||
return fft(poly + [0]*len(poly))[1::2]
|
||||
```
|
||||
|
||||
### Data recovery
|
||||
|
||||
See [Reed-Solomon erasure code recovery in n*log^2(n) time with FFTs](https://ethresear.ch/t/reed-solomon-erasure-code-recovery-in-n-log-2-n-time-with-ffts/3039) for theory.
|
||||
Implementations:
|
||||
- [Original Python](https://github.com/ethereum/research/blob/master/mimc_stark/recovery.py)
|
||||
- [New optimized approach in python](https://github.com/ethereum/research/tree/master/polynomial_reconstruction)
|
||||
- [Old approach in Go](https://github.com/protolambda/go-kate/blob/master/recovery.go)
|
||||
|
||||
```python
|
||||
def recover_data(data: Sequence[Optional[Point]]) -> Sequence[Point]:
|
||||
"""Given an a subset of half or more of the values (missing values are None), recover the None values."""
|
||||
...
|
||||
```
|
||||
|
||||
@@ -41,25 +63,61 @@ def recover_data(data: Sequence[Optional[Point]]) -> Sequence[Point]:
|
||||
|
||||
```python
|
||||
def extend_data(data: Sequence[Point]) -> Sequence[Point]:
|
||||
...
|
||||
# To force adjacent data into the same proofs, reverse-bit-order the whole list.
|
||||
evens = [data[reverse_bit_order(i, len(data))] for i in range(len(data))]
|
||||
# last step of reverse-bit-order: mix in the extended data.
|
||||
# When undoing the reverse bit order: 1st half matches original data, and 2nd half matches the extension.
|
||||
odds = das_fft_extension(data)
|
||||
return [evens[i//2] if i % 2 == 0 else odds[i//2] for i in range(len(data)*2)]
|
||||
```
|
||||
|
||||
```python
|
||||
def unextend_data(extended_data: Sequence[Point]) -> Sequence[Point]:
|
||||
return [extended_data[reverse_bit_order(i, len(extended_data))] for i in range(len(extended_data)//2)]
|
||||
```
|
||||
|
||||
```python
|
||||
def check_multi_kate_proof(commitment: BLSCommitment, proof: BLSKateProof, x: Point, ys: Sequence[Point]) -> bool:
|
||||
...
|
||||
```
|
||||
|
||||
```python
|
||||
def sample_data(extended_data: Sequence[Point]) -> Sequence[DASSample]:
|
||||
...
|
||||
def construct_proofs(extended_data_as_poly: Sequence[Point]) -> Sequence[BLSKateProof]:
|
||||
"""Constructs proofs for samples of extended data (in polynomial form, 2nd half being zeroes)"""
|
||||
... # TODO Use FK20 multi-proof code to construct proofs for a chunk length of POINTS_PER_SAMPLE.
|
||||
```
|
||||
|
||||
```python
|
||||
def verify_sample(sample: DASSample):
|
||||
...
|
||||
def sample_data(slot: Slot, shard: Shard, extended_data: Sequence[Point]) -> Sequence[DASSample]:
|
||||
# TODO: padding of last sample (if not a multiple of POINTS_PER_SAMPLE)
|
||||
sample_count = len(extended_data) // POINTS_PER_SAMPLE
|
||||
assert sample_count <= MAX_SAMPLES_PER_BLOCK
|
||||
proofs = construct_proofs(ifft(extended_data))
|
||||
return [
|
||||
DASSample(
|
||||
slot=slot,
|
||||
shard=shard,
|
||||
index=i,
|
||||
proof=proofs[reverse_bit_order(i, sample_count)], # TODO: proof order depends on API of construct_proofs
|
||||
data=reverse_bit_order_list(extended_data[i*POINTS_PER_SAMPLE:(i+1)*POINTS_PER_SAMPLE]) # TODO: can reorder here, or defer
|
||||
) for i in range(sample_count)
|
||||
]
|
||||
```
|
||||
|
||||
```python
|
||||
def reconstruct_extended_data(samples: Sequence[DASSample]) -> Sequence[Point]:
|
||||
...
|
||||
def verify_sample(sample: DASSample, sample_count: uint64, commitment: BLSCommitment):
|
||||
domain_pos = reverse_bit_order(sample.index, sample_count)
|
||||
sample_root_of_unity = ROOT_OF_UNITY**MAX_SAMPLES_PER_BLOCK # change point-level to sample-level domain
|
||||
x = sample_root_of_unity**domain_pos
|
||||
assert check_multi_kate_proof(commitment, sample.proof, x, sample.data)
|
||||
```
|
||||
|
||||
```python
|
||||
def reconstruct_extended_data(samples: Sequence[Optional[DASSample]]) -> Sequence[Point]:
|
||||
extended_data = [None] * (len(samples) * POINTS_PER_SAMPLE)
|
||||
for sample in samples:
|
||||
offset = sample.index * POINTS_PER_SAMPLE
|
||||
for i, p in enumerate(sample.data):
|
||||
extended_data[offset+i] = p
|
||||
return recover_data(extended_data)
|
||||
```
|
||||
|
||||
Reference in New Issue
Block a user